OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Influence of urban morphology on facade solar potential in mixed-use neighborhoods: Block prototypes and design benchmark
Keming Zhao, Zhonghua Gou
Energy and Buildings (2023) Vol. 297, pp. 113446-113446
Closed Access | Times Cited: 25

Showing 25 citing articles:

A comprehensive study of how urban morphological parameters impact the solar potential, energy consumption and daylight autonomy in canyons and buildings
Ehsan Rostami, Nazanin Nasrollahi, Jamal Khodakarami
Energy and Buildings (2024) Vol. 305, pp. 113904-113904
Closed Access | Times Cited: 24

Enhancing rooftop solar energy potential evaluation in high-density cities: A Deep Learning and GIS based approach
H. F. Ni, D Wang, Wenzhuo Zhao, et al.
Energy and Buildings (2023) Vol. 309, pp. 113743-113743
Closed Access | Times Cited: 25

Promoting solar energy utilization: Prediction, analysis and evaluation of solar radiation on building surfaces at city scale
Yingjun Yue, Zengfeng Yan, Pingan Ni, et al.
Energy and Buildings (2024) Vol. 319, pp. 114561-114561
Closed Access | Times Cited: 11

Environmental and economic evaluation of urban building-integrated photovoltaic and electric vehicle system
Zhe Yu, Zhenwei Lu, Wentao Xin, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110205-110205
Closed Access | Times Cited: 5

A novel deep learning and GIS integrated method for accurate city-scale assessment of building facade solar energy potential
Chengliang Xu, Shiao Chen, Haoshan Ren, et al.
Applied Energy (2025) Vol. 387, pp. 125600-125600
Closed Access

A regional domestic energy consumption model based on LoD1 to assess energy-saving potential
Minghao Liu, Zhonghua Gou
Advanced Engineering Informatics (2025) Vol. 65, pp. 103247-103247
Closed Access

Impact of morphological parameters on carbon emission intensity in cold-region university campus clusters: Simulation and optimization
Jiayang Jiang, H.C. van der Mei, Yueran Wang, et al.
Sustainable Cities and Society (2025) Vol. 124, pp. 106296-106296
Closed Access

LCZ-based city-wide solar radiation potential analysis by coupling physical modeling, machine learning, and 3D buildings
Xiana Chen, Wei Tu, Junxian Yu, et al.
Computers Environment and Urban Systems (2024) Vol. 113, pp. 102176-102176
Closed Access | Times Cited: 4

Assessing Urban Morphology's Impact on Solar Potential of High-Rise Facades in Hong Kong Using Machine Learning: An Application for FIPV Optimization
Lulu Tao, Mengmeng Wang, Changying Xiang
Sustainable Cities and Society (2024) Vol. 117, pp. 105978-105978
Closed Access | Times Cited: 4

The impact of urban morphology on sunlight availability at urban and neighborhood scales: a systematic review
Ehsan Rostami, Nazanin Nasrollahi
Sustainable Cities and Society (2025), pp. 106194-106194
Closed Access

Multivariate Evaluation of Photovoltaic Utilization Potential of Primary and Secondary School Buildings: A Case Study in Hainan Province, China
Chao-hong Wang, Xudong Zhang, Chen Wang, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 810-810
Open Access | Times Cited: 2

An integrated framework utilizing machine learning to accelerate the optimization of energy-efficient urban block forms
Ke Liu, Xiaodong Xu, Ran Zhang, et al.
Building Simulation (2024)
Closed Access | Times Cited: 2

An Overview of the Research on the Correlation between Solar Energy Utilization Potential and Spatial Morphology
Dexin Li, Xianghong Cui, Long Shi, et al.
Results in Engineering (2024) Vol. 24, pp. 103444-103444
Open Access | Times Cited: 2

Assessing building-integrated photovoltaic potential in dense urban areas using a multi-channel single-dimensional convolutional neural network model
Xiaotian Geng, Senhong Cai, Zhonghua Gou
Applied Energy (2024) Vol. 377, pp. 124716-124716
Closed Access | Times Cited: 1

Evaluating cities' solar potential using geographic information systems: A review
Paweł Drozd, Jacek Kapica, Jakub Jurasz, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 209, pp. 115112-115112
Closed Access | Times Cited: 1

Integrating microclimate modelling with building energy simulation and solar photovoltaic potential estimation: The parametric analysis and optimization of urban design
Chenhang Bian, K.L. Cheung, Xi Chen, et al.
Applied Energy (2024) Vol. 380, pp. 125062-125062
Closed Access | Times Cited: 1

Bionically inspired flattened linear Fresnel concentrator and its photothermal application on building façade
Zongxian Duan, Zhijing Li, Wei An, et al.
Solar Energy (2024) Vol. 283, pp. 112994-112994
Closed Access

Unlocking solar potential in high-latitude urban areas: A study of morphological indicators and zero energy potential of Glasgow
Chen Yang, Senhong Cai, Zhonghua Gou
Solar Energy (2024) Vol. 283, pp. 113023-113023
Closed Access

Page 1

Scroll to top